{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,21]],"date-time":"2026-06-21T16:07:17Z","timestamp":1782058037114,"version":"3.54.5"},"reference-count":39,"publisher":"Springer Science and Business Media LLC","issue":"5","license":[{"start":{"date-parts":[[2024,2,23]],"date-time":"2024-02-23T00:00:00Z","timestamp":1708646400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,2,23]],"date-time":"2024-02-23T00:00:00Z","timestamp":1708646400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Cluster Comput"],"published-print":{"date-parts":[[2024,8]]},"DOI":"10.1007\/s10586-023-04263-9","type":"journal-article","created":{"date-parts":[[2024,2,23]],"date-time":"2024-02-23T17:03:02Z","timestamp":1708707782000},"page":"6167-6184","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":11,"title":["MAIDS: malicious agent identification-based data security model for cloud environments"],"prefix":"10.1007","volume":"27","author":[{"given":"Kishu","family":"Gupta","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Deepika","family":"Saxena","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rishabh","family":"Gupta","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ashutosh Kumar","family":"Singh","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2024,2,23]]},"reference":[{"key":"4263_CR1","doi-asserted-by":"publisher","first-page":"33","DOI":"10.1016\/j.dcan.2021.02.002","volume":"8","author":"W Song","year":"2022","unstructured":"Song, W., et al.: Public integrity verification for data sharing in cloud with asynchronous revocation. Digit. Commun. Netw. 8, 33\u201343 (2022)","journal-title":"Digit. Commun. Netw."},{"key":"4263_CR2","first-page":"1604","volume":"16","author":"D Saxena","year":"2023","unstructured":"Saxena, D., Singh, A.K.: A high availability management model based on VM significance ranking and resource estimation for cloud applications. IEEE Trans. Serv. Comput. 16, 1604\u20131615 (2023)","journal-title":"IEEE Trans. Serv. Comput."},{"key":"4263_CR3","doi-asserted-by":"publisher","first-page":"1136","DOI":"10.1109\/TCC.2016.2545668","volume":"6","author":"J Wei","year":"2016","unstructured":"Wei, J., Liu, W., Hu, X.: Secure data sharing in cloud computing using revocable-storage identity-based encryption. IEEE Trans. Cloud Comput. 6, 1136\u20131148 (2016)","journal-title":"IEEE Trans. Cloud Comput."},{"key":"4263_CR4","doi-asserted-by":"publisher","first-page":"2893","DOI":"10.1109\/TPDS.2021.3079341","volume":"32","author":"AK Singh","year":"2021","unstructured":"Singh, A.K., Saxena, D., Kumar, J., Gupta, V.: A quantum approach towards the adaptive prediction of cloud workloads. IEEE Trans. Parallel Distrib. Syst. 32, 2893\u20132905 (2021)","journal-title":"IEEE Trans. Parallel Distrib. Syst."},{"key":"4263_CR5","doi-asserted-by":"publisher","first-page":"2445","DOI":"10.1109\/JSYST.2022.3218894","volume":"17","author":"R Gupta","year":"2023","unstructured":"Gupta, R., Gupta, I., Singh, A.K., Saxena, D., Lee, C.N.: An IoT-centric data protection method for preserving security and privacy in cloud. IEEE Syst. J. 17, 2445\u20132454 (2023)","journal-title":"IEEE Syst. J."},{"key":"4263_CR6","doi-asserted-by":"publisher","first-page":"3163","DOI":"10.1109\/JSYST.2021.3092521","volume":"16","author":"D Saxena","year":"2021","unstructured":"Saxena, D., Gupta, I., Kumar, J., Singh, A.K., Wen, X.: A secure and multiobjective virtual machine placement framework for cloud data center. IEEE Syst. J. 16, 3163\u20133174 (2021)","journal-title":"IEEE Syst. J."},{"key":"4263_CR7","doi-asserted-by":"crossref","unstructured":"Gupta, K., Kush, A.: A forecasting-based DLP approach for data security (2021)","DOI":"10.1007\/978-981-15-8335-3_1"},{"key":"4263_CR8","unstructured":"Galov, N.: Cloud adoption statistics. https:\/\/webtribunal.net\/blog\/cloud-adoption-statistics\/#gref (2022). Accessed 2023"},{"key":"4263_CR9","doi-asserted-by":"publisher","first-page":"217","DOI":"10.1109\/LNET.2022.3215248","volume":"4","author":"R Gupta","year":"2022","unstructured":"Gupta, R., Saxena, D., Gupta, I., Singh, A.K.: Differential and triphase adaptive learning-based privacy-preserving model for medical data in cloud environment. IEEE Netw. Lett. 4, 217\u2013221 (2022)","journal-title":"IEEE Netw. Lett."},{"key":"4263_CR10","doi-asserted-by":"publisher","first-page":"83105","DOI":"10.1109\/ACCESS.2021.3085085","volume":"9","author":"R Chandra","year":"2021","unstructured":"Chandra, R., Goyal, S., Gupta, R.: Evaluation of deep learning models for multi-step ahead time series prediction. IEEE Access 9, 83105\u201383123 (2021)","journal-title":"IEEE Access"},{"key":"4263_CR11","doi-asserted-by":"crossref","unstructured":"Saxena, D., Gupta, K., Gupta, R., Kumar, J., Singh, A.K.: Fedmup: federated learning driven malicious user prediction model for secure data distribution in cloud environments (2023). https:\/\/ssrn.com\/abstract=4500554","DOI":"10.2139\/ssrn.4500554"},{"key":"4263_CR12","doi-asserted-by":"publisher","first-page":"102533","DOI":"10.1016\/j.sysarc.2022.102533","volume":"128","author":"H Yin","year":"2022","unstructured":"Yin, H., et al.: An efficient and access policy-hiding keyword search and data sharing scheme in cloud-assisted IoT. J. Syst. Archit. 128, 102533 (2022)","journal-title":"J. Syst. Archit."},{"key":"4263_CR13","doi-asserted-by":"publisher","first-page":"33127","DOI":"10.1007\/s11042-021-11751-w","volume":"81","author":"R Gupta","year":"2022","unstructured":"Gupta, R., Singh, A.K.: A privacy-preserving model based on differential approach for sensitive data in cloud environment. Multimed. Tools Appl. 81, 33127\u201333150 (2022)","journal-title":"Multimed. Tools Appl."},{"key":"4263_CR14","doi-asserted-by":"publisher","first-page":"331","DOI":"10.1109\/TIFS.2018.2850312","volume":"14","author":"W Shen","year":"2018","unstructured":"Shen, W., Qin, J., Yu, J., Hao, R., Hu, J.: Enabling identity-based integrity auditing and data sharing with sensitive information hiding for secure cloud storage. IEEE Trans. Inf. Forensics Secur. 14, 331\u2013346 (2018)","journal-title":"IEEE Trans. Inf. Forensics Secur."},{"key":"4263_CR15","doi-asserted-by":"publisher","first-page":"30","DOI":"10.1109\/LNET.2019.2891998","volume":"1","author":"D Li","year":"2019","unstructured":"Li, D., Du, R., Fu, Y., Au, M.H.: Meta-key: a secure data-sharing protocol under blockchain-based decentralized storage architecture. IEEE Netw. Lett. 1, 30\u201333 (2019)","journal-title":"IEEE Netw. Lett."},{"key":"4263_CR16","doi-asserted-by":"crossref","unstructured":"IBM, P.: Cost of a data breach study: global overview (2022). https:\/\/www.ibm.com\/reports\/data-breach (2022). Accessed 2022","DOI":"10.12968\/S1353-4858(22)70049-9"},{"key":"4263_CR17","doi-asserted-by":"publisher","first-page":"6029","DOI":"10.1007\/s10489-020-02160-x","volume":"51","author":"AG Martin","year":"2021","unstructured":"Martin, A.G., Fern\u00e1ndez-Isabel, A., Mart\u00edn de Diego, I., Beltr\u00e1n, M.: A survey for user behavior analysis based on machine learning techniques: current models and applications. Appl. Intell. 51, 6029\u20136055 (2021)","journal-title":"Appl. Intell."},{"key":"4263_CR18","unstructured":"Tayyab, M., Marjani, M., Jhanjhi, N.Z., Hashem, I.A.T., Usmani, R.S.A.: A watermark-based secure model for data security against security attacks for machine learning algorithms. J. Eng. Sci. Technol. Special Issue on IAC2021, pp. 24\u201337 (2022)"},{"key":"4263_CR19","doi-asserted-by":"publisher","first-page":"116","DOI":"10.1109\/TKDE.2007.190668","volume":"20","author":"M Shehab","year":"2007","unstructured":"Shehab, M., Bertino, E., Ghafoor, A.: Watermarking relational databases using optimization-based techniques. IEEE Trans. Knowl. Data Eng. 20, 116\u2013129 (2007)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"4263_CR20","doi-asserted-by":"publisher","first-page":"2844","DOI":"10.1109\/LCOMM.2021.3086986","volume":"25","author":"D Saxena","year":"2021","unstructured":"Saxena, D., Singh, A.K.: OSC-MC: online secure communication model for cloud environment. IEEE Commun. Lett. 25, 2844\u20132848 (2021)","journal-title":"IEEE Commun. Lett."},{"key":"4263_CR21","doi-asserted-by":"publisher","first-page":"2585","DOI":"10.1007\/s13369-021-06200-7","volume":"47","author":"E Almehmadi","year":"2022","unstructured":"Almehmadi, E., Gutub, A.: Novel Arabic e-text watermarking supporting partial dishonesty based on counting-based secret sharing. Arab. J. Sci. Eng. 47, 2585\u20132609 (2022)","journal-title":"Arab. J. Sci. Eng."},{"key":"4263_CR22","doi-asserted-by":"publisher","first-page":"4248","DOI":"10.1109\/JSYST.2020.3035666","volume":"15","author":"I Gupta","year":"2021","unstructured":"Gupta, I., Gupta, R., Singh, A.K., Buyya, R.: MLPAM: a machine learning and probabilistic analysis based model for preserving security and privacy in cloud environment. IEEE Syst. J. 15, 4248\u20134259 (2021)","journal-title":"IEEE Syst. J."},{"key":"4263_CR23","doi-asserted-by":"publisher","first-page":"737","DOI":"10.1007\/s00354-022-00185-z","volume":"40","author":"R Gupta","year":"2022","unstructured":"Gupta, R., Singh, A.K.: A differential approach for data and classification service-based privacy-preserving machine learning model in cloud environment. New Gener. Comput. 40, 737\u2013764 (2022)","journal-title":"New Gener. Comput."},{"key":"4263_CR24","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-023-06359-0","author":"K Wo\u017anica","year":"2023","unstructured":"Wo\u017anica, K., Trafas, M., Biecek, P.: Consolidated learning: a domain-specific model-free optimization strategy with validation on metaMIMIC benchmarks. Mach. Learn. (2023). https:\/\/doi.org\/10.1007\/s10994-023-06359-0","journal-title":"Mach. Learn."},{"key":"4263_CR25","doi-asserted-by":"publisher","first-page":"1925","DOI":"10.1007\/s10994-021-06068-6","volume":"111","author":"W Huang","year":"2022","unstructured":"Huang, W., Zhao, X., Huang, X.: Embedding and extraction of knowledge in tree ensemble classifiers. Mach. Learn. 111, 1925\u20131958 (2022). https:\/\/doi.org\/10.1007\/s10994-021-06068-6","journal-title":"Mach. Learn."},{"key":"4263_CR26","doi-asserted-by":"publisher","first-page":"51","DOI":"10.1109\/TKDE.2010.100","volume":"23","author":"P Papadimitriou","year":"2011","unstructured":"Papadimitriou, P., Garcia-Molina, H.: Data leakage detection. IEEE Trans. Knowl. Data Eng. 23, 51\u201363 (2011)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"4263_CR27","doi-asserted-by":"publisher","first-page":"578","DOI":"10.1016\/j.cose.2018.05.010","volume":"77","author":"R Matilda","year":"2018","unstructured":"Matilda, R., Pete, B., Kelvin, J.: Early-stage malware prediction using recurrent neural networks. Comput. Secur. 77, 578\u2013594 (2018)","journal-title":"Comput. Secur."},{"key":"4263_CR28","doi-asserted-by":"crossref","unstructured":"Sharif, M., Urakawa, J., Christin, N., Kubota, A., Yamada, A.: Predicting impending exposure to malicious content from user behavior. In: Proceedings of the 2018 ACM SIGSAC Conference on Computer and Communications Security, pp. 1487\u20131501. Association for Computing Machinery, New York, NY (2018)","DOI":"10.1145\/3243734.3243779"},{"key":"4263_CR29","doi-asserted-by":"publisher","first-page":"69","DOI":"10.1016\/j.ipl.2019.03.005","volume":"147","author":"I Gupta","year":"2019","unstructured":"Gupta, I., Singh, A.K.: Dynamic threshold based information leaker identification scheme. Inf. Process. Lett. 147, 69\u201373 (2019)","journal-title":"Inf. Process. Lett."},{"key":"4263_CR30","doi-asserted-by":"publisher","first-page":"6947","DOI":"10.1007\/s10489-019-01488-3","volume":"49","author":"G Lingam","year":"2019","unstructured":"Lingam, G., Rout, R.R., Somayajulu, D.: Adaptive deep Q-learning model for detecting social bots and influential users in online social networks. Appl. Intell. 49, 6947\u20136964 (2019)","journal-title":"Appl. Intell."},{"key":"4263_CR31","doi-asserted-by":"publisher","first-page":"31165","DOI":"10.1007\/s11042-020-09470-9","volume":"79","author":"AK Singh","year":"2020","unstructured":"Singh, A.K., Gupta, I.: Online information leaker identification scheme for secure data sharing. Multimed. Tools Appl. 79, 31165\u201331182 (2020)","journal-title":"Multimed. Tools Appl."},{"key":"4263_CR32","doi-asserted-by":"publisher","first-page":"102507","DOI":"10.1016\/j.jnca.2019.102507","volume":"151","author":"M Rabbani","year":"2020","unstructured":"Rabbani, M., et al.: A hybrid machine learning approach for malicious behaviour detection and recognition in cloud computing. J. Netw. Comput. Appl. 151, 102507 (2020)","journal-title":"J. Netw. Comput. Appl."},{"key":"4263_CR33","first-page":"98","volume":"19","author":"K Gupta","year":"2020","unstructured":"Gupta, K., Kush, A.: A learning oriented DLP system based on classification model. INFOCOMP J. Comput. Sci. 19, 98\u2013108 (2020)","journal-title":"INFOCOMP J. Comput. Sci."},{"key":"4263_CR34","doi-asserted-by":"publisher","unstructured":"Afshar, M., Samet, S., Usefi, H.: Incorporating behavior in attribute based access control model using machine learning. In: IEEE International Systems Conference (SysCon) (2021). https:\/\/doi.org\/10.1109\/SysCon48628.2021.9447115","DOI":"10.1109\/SysCon48628.2021.9447115"},{"key":"4263_CR35","doi-asserted-by":"publisher","first-page":"7306","DOI":"10.1007\/s10489-021-02222-8","volume":"51","author":"IA Khan","year":"2021","unstructured":"Khan, I.A., et al.: A privacy-conserving framework based intrusion detection method for detecting and recognizing malicious behaviours in cyber-physical power networks. Appl. Intell. 51, 7306\u20137321 (2021)","journal-title":"Appl. Intell."},{"key":"4263_CR36","doi-asserted-by":"publisher","first-page":"107","DOI":"10.1007\/s11277-021-08095-x","volume":"127","author":"MS Raja","year":"2022","unstructured":"Raja, M.S., Arun Raj, L.: Detection of malicious profiles and protecting users in online social networks. Wirel. Pers. Commun. 127, 107\u2013124 (2022)","journal-title":"Wirel. Pers. Commun."},{"key":"4263_CR37","doi-asserted-by":"publisher","first-page":"100034","DOI":"10.1016\/j.hcc.2021.100034","volume":"2","author":"R Ranjana","year":"2022","unstructured":"Ranjana, R., Kumar, S.S.: User behaviour analysis using data analytics and machine learning to predict malicious user versus legitimate user. High-Confid. Comput. 2, 100034 (2022)","journal-title":"High-Confid. Comput."},{"key":"4263_CR38","doi-asserted-by":"publisher","first-page":"174","DOI":"10.1109\/LNET.2022.3200724","volume":"4","author":"R Gupta","year":"2022","unstructured":"Gupta, R., Saxena, D., Gupta, I., Makkar, A., KumarSingh, A.: Quantum machine learning driven malicious user prediction for cloud network communications. IEEE Netw. Lett. 4, 174\u2013178 (2022)","journal-title":"IEEE Netw. Lett."},{"key":"4263_CR39","unstructured":"Software Engineering Institute, Carnegie Mellon University. Insider threat test dataset. https:\/\/resources.sei.cmu.edu\/library\/asset-view.cfm?assetid=508099 (n.d.). Accessed 7 Jan 2021"}],"container-title":["Cluster Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10586-023-04263-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10586-023-04263-9\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10586-023-04263-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,12]],"date-time":"2024-08-12T14:39:28Z","timestamp":1723473568000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10586-023-04263-9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,2,23]]},"references-count":39,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2024,8]]}},"alternative-id":["4263"],"URL":"https:\/\/doi.org\/10.1007\/s10586-023-04263-9","relation":{},"ISSN":["1386-7857","1573-7543"],"issn-type":[{"value":"1386-7857","type":"print"},{"value":"1573-7543","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,2,23]]},"assertion":[{"value":"25 September 2023","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"10 December 2023","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"28 December 2023","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"23 February 2024","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors have no conflicts of interest to disclose.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}},{"value":"This article does not contain any studies with human participants or animals performed by any of the authors.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical approval"}},{"value":"Not applicable.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent to participate"}},{"value":"Not applicable.","order":5,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent for publication"}}]}}